Prediction of COVID-19 outbreak and allocation of prevention supplies during the global pandemic

Yanwen Shen

doi:10.1117/12.2631320

18 March 2022 Prediction of COVID-19 outbreak and allocation of prevention supplies during the global pandemic

Yanwen Shen

Proceedings Volume 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021); 121681W (2022) https://doi.org/10.1117/12.2631320
Event: International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 2021, Harbin, China

Abstract

Coronavirus disease 2019 emerged in December 2019 and was later named Covid-19 by the World Health Organization (WHO). The disease is regarded to be the extremely contagious one with a high fatality rate worldwide. Therefore, the prediction and prevention of the disease are urgently needed. SEIR is a typical model of infectious disease propagation prediction. Hence, in this paper, we proposed a new model based on the SEIR model to predict the propagation of Covid-19 with the case study of the USA. Also, we use principal component analysis to evaluate the severeness of Covid-19 in each continent and propose an allocation plan of epidemic prevention supplies. Finally, the result of both models will be visualized by Python.

Citation Download Citation

Yanwen Shen "Prediction of COVID-19 outbreak and allocation of prevention supplies during the global pandemic", Proc. SPIE 12168, International Conference on Computer Graphics, Artificial Intelligence, and Data Processing (ICCAID 2021), 121681W (18 March 2022); https://doi.org/10.1117/12.2631320

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